Filing a Utility Patent Application

2009 ◽  
Vol 131 (08) ◽  
pp. 36-37 ◽  
Author(s):  
Kirk Teska

This paper focuses on that one can make a fortune if one holds a patent for something that everybody wants; and when one is rich and the patent expires, then in general, the society can benefit from what one invented. According a 2007 survey, the average cost for a utility patent application in the United States is around $12,000. By the time the patent is granted, the total cost could easily exceed $20,000. As for basic patent application drafting information, provide any information that the attorney will need to set the deadline for filing the application. List the names, residential addresses, and citizenship of all the likely inventors. List and provide a copy of all relevant prior papers and patents you know about that are related to the invention. Many companies use “invention disclosure” forms for these purposes. If the patent attorney is willing, ask for a discount for multiple applications and/or fixed cost applications. The overall cost may not be that much lower, but at least the cost is known ahead of time and can budget the patenting efforts accordingly.


Author(s):  
W. C. T. Dowell

Stereo imaging is not new to electron microscopy. Von Ardenne, who first published transmission pairs nearly forty hears ago, himself refers to a patent application by Ruska in 1934. In the early days of the electron microscope von Ardenne employed a pair of magnetic lenses to view untilted specimens but soon opted for the now standard technique of tilting the specimen with respect to the beam.In the shadow electron microscope stereo images can, of course, be obtained by tilting the specimen between micrographs. This obvious method suffers from the disadvantage that the magnification is very sensitive to small changes in specimen height which accompany tilting in the less sophisticated stages and it is also time consuming. A more convenient method is provided by horizontally displacing the specimen between micrographs. The specimen is not tilted and the technique is both simple and rapid, stereo pairs being obtained in less than thirty seconds.


2020 ◽  
Author(s):  
Wenhao Zhang ◽  
Ramin Ramezani ◽  
Zhuoer Xie ◽  
John Shen ◽  
David Elashoff ◽  
...  

BACKGROUND The availability of low cost ubiquitous wearable sensors has enabled researchers, in recent years, to collect a large volume of data in various domains including healthcare. The goal has been to harness wearables to further investigate human activity, physiology and functional patterns. As such, on-body sensors have been primarily used in healthcare domain to help predict adverse outcomes such as hospitalizations or fall, thereby enabling clinicians to develop better intervention guidelines and personalized models of care to prevent harmful outcomes. In the previous studies [9,10] and the patent application [11], we introduced a generic framework (Sensing At-Risk Population) that draws on the classification of human movements using a 3-axial accelerometer and extraction of indoor localization using BLE beacons, in concert. This work is to address the longitudinal analyses of a particular cohort using the introduced framework in a skilled nursing facility. OBJECTIVE (a) To observe longitudinal changes of physical activity and indoor localization features of rehabilitation-dwelling patients, (b) to assess if such changes can be used at early stages during the rehabilitation period to discriminate between patients that will be re-hospitalized versus the ones that will be discharged to a community setting and (c) to investigate if the sensor based longitudinal changes can imitate patients changes captured by therapist assessments over the course of rehabilitation. METHODS Pearson correlation was used to compare occupational therapy (OT) and physical therapy (PT) assessments with sensor-based features. Generalized Linear Mixed Model was used to find associations between functional measures with sensor based features. RESULTS Energy intensity at therapy room was positively associated with transfer general (β=0.22;SE=0.08;p<.05). Similarly, sitting energy intensity showed positive association with transfer general (β=0.16;SE=0.07;p<.05). Laying down energy intensity was negatively associated with hygiene grooming (β=-0.27;SE=0.14;p<.05). The interaction of sitting energy intensity with time (β=-0.13;SE=.06;p<.05) was associated with toileting general. Dressing lower body was strongly correlated with overall energy intensity (r = 0.66), standing energy intensity (r = 0.61), and laying down energy intensity (r = 0.72) on the first clinical assessment session. CONCLUSIONS This study demonstrates that a combination of indoor localization and physical activity tracking produces a series of features, a subset of which can provide crucial information on the storyline of daily and longitudinal activity patterns of rehabilitation-dwelling patients.


IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 4199-4210
Author(s):  
Shuyu Bian ◽  
Guohua Shen ◽  
Zhiqiu Huang ◽  
Yang Yang ◽  
Jinghan Li ◽  
...  

2017 ◽  
Vol 14 (06) ◽  
pp. 1750040 ◽  
Author(s):  
Nnaemeka Vincent Emodi ◽  
Girish Panchakshara Murthy ◽  
Chinenye Comfort Emodi ◽  
Adaeze Saratu Augusta Emodi

This study investigates the factors influencing the Chinese manufacturing industry’s innovation and industrial performance utilizing a panel data approach on a sample of Chinese manufacturing enterprises over the period of 2008–2013. The industries were grouped according to related sectors into five groups, a general group was also created which included the whole data sample. The study found that research and development (R&D) expenditure positively influenced the growth of product innovation and industrial performance, but not necessarily knowledge innovation and export performance. Also, expenditure on new product development had a positive impact on both innovation and industrial performance. The growth of patent application was discovered to be influenced by an R&D project and foreign patent license. Finally, the number of enterprises and firm size (i.e. number of employees) contributed positively to the industrial output performance. The findings suggest that industrial R&D and new product development influences the success of product innovation and sales performance. The study recommends that the government should set up policies that will stimulate industrial R&D, while supporting technology transfers from foreign partners. Most importantly, government policies on the development of the industry should be addressed on a sectorial level and not a “one-size-fit-all” type of policy.


Kybernetes ◽  
2014 ◽  
Vol 43 (5) ◽  
pp. 672-685 ◽  
Author(s):  
Zheng-Xin Wang

Purpose – The purpose of this paper is to propose an economic cybernetics model based on the grey differential equation GM(1,N) for China's high-tech industries and provide the necessary support to assist high-tech industries management departments with their policy making. Design/methodology/approach – Based on the principle of grey differential equation GM(1,N), the grey differential equations of five high-tech industries in China are established using the net fixed assets, labor quantity and patent application quantity as cybernetics variables. After the discretization and first-order subtraction reduction to the simultaneous equation of the five grey models, a linear cybernetics model is resulted in. The structure parameters in the cybernetics system show explicit economic significance and can be identified through least square principle. At last, the actual data in 2004-2010 are introduced to empirically analyze the high-tech industrial system in China. Findings – The cybernetics system for China's high-tech industries are stable, observable, and controllable. On the whole, China's high-tech industries show higher output coefficients of the patent application quantity than those of net fixed assets and labor quantity. This suggests that China's industry development mainly depends on technological innovation rather than capital or labor inputs. It is expected that the total output value of China's high-tech industries will grow at an average annual rate of 15 percent in 2011-2015, with contributions of pharmaceuticals, aircraft and spacecraft, electronic and telecommunication equipments, computers and office equipments, medical equipments and meters by 21, 16, 13, 10, and 28 percent, respectively. In addition, pharmaceuticals, as well as medical equipments and meters, present upward proportions in the gross of Chinese high-tech industries significantly. Electronic and telecommunication equipments, plus computers and office equipments exhibit an obvious decreasing proportion. The proportion of the output value of aircraft and spacecraft is basically stable. Practical implications – Empirical analysis results are helpful for related management departments to formulate reasonable industrial policies to keep the sustained and stable development of the high-tech industries in China. Originality/value – Based on the grey differential equation GM(1,N), this research puts forward an economic cybernetics model for the high-tech industries in China. This model is applicable to the economic system with small sample data set.


2022 ◽  
pp. 001573252110579
Author(s):  
Phan Thanh Hoan ◽  
Duong Thi Dieu My

Vietnam is one of the top information and communication technologies (ICT) exporters globally, and the ICT products constitute nearly one-fifth of Vietnam’s total exports to the European Union (EU). This study empirically investigates the determinants of Vietnam’s ICT exports to the EU by applying the gravity model for trade with panel data from 2000 to 2019. Besides the traditional variables of the gravity model, we added gross capital formation, patent application and exchange rates as explanatory variables. The results show that among factors affecting Vietnam’s ICT export to the EU, market size, patent applications, and exchange rate are the most significant determinants. The article also suggests some policy implications for the development of ICT exports between the two parties. JEL Codes: F14, C2


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